不同CT阈值下实性成分占比对小肺癌浸润性预测的影响

Predictive value of consolidation/tumor ratio at different CT thresholds for invasiveness in small lung cancer

目的:利用人工智能辅助测量,比较在不同CT阈值下测得的肿瘤实性成分占比(CTR)对≤2 cm小肺癌浸润性预测的准确率,探讨预测肺癌浸润性的CTR阈值及对应的CT阈值。方法:收集2021年1月至2023年5月武威市中医医院就诊的59例肺癌患者(共78个肺结节)的临床资料,分析在CT阈值分别为-400、-350、-300、-250、-200、-150 HU时测得的CTR对直径≤2 cm小肺癌浸润性的预测效能,绘制ROC曲线判断预测浸润性的最佳临界值,以确定相应的CT阈值。结果:CT阈值为-250 HU时,对肺结节浸润性的诊断效能最高,曲线下面积为0.931,灵敏度为77.5%,特异度为100%,最佳CTR阈值为0.322。结论:对于最大径≤2 cm的小肺癌,当CT阈值为-250 HU时测得的CTR可较准确地预测肺癌的浸润性,当CTR>0.322时结节为微浸润腺癌或浸润性腺癌可能性较大。

Objective To compare the accuracy of consolidation/tumor ratio(CTR)measured at different CT thresholds for the prediction of invasiveness in small lung cancer with diameter≤2 cm using artificial intelligence-assisted measurements,and to explore the CTR thresholds and the corresponding CT thresholds for predicting lung cancer invasiveness.Methods Clinical data from 59 lung cancer patients(78 lung nodules in total)treated at Wuwei Hospital of Traditional Chinese Medicine from January 2021 to May 2023 were collected to analyze the prediction efficacy of CTR on invasiveness in small lung cancer with diameter≤2 cm measured at CT thresholds of-400,-350,-300,-250,-200,-150 HU.ROC curves were plotted to determine the optimal critical value for invasiveness prediction,followed by the corresponding CT threshold.Results The highest diagnostic efficacy for the invasiveness of lung nodules was achieved at a CT threshold of-250 HU,with an area under the curve of 0.931,sensitivity of 77.5%,specificity of 100%,and an optimal CTR threshold of 0.322.Conclusion For small lung cancers with a maximum diameter≤2 cm,CTR measured at a CT threshold of-250 HU can accurately predict lung cancer invasiveness.At CTR>0.322,the nodule is more likely to be microinvasive or invasive adenocarcinoma.